WHY MATRIX REPAIR MATTERS

Even the best models collapse if the math underneath is unstable. Ill-conditioned matrices (those with very large condition numbers) can turn your optimizers, regressions, covariance, or risk models into random number generators — often at the worst possible time.

WHAT WE DO

We apply proprietary theorems & algorithms, based on new discoveries that apply to ALL square matrices (real or complex), to stabilize your matrices quickly and transparently:

• Minimal, auditable edits — the structure of your matrix is preserved, only the unstable parts are corrected.
  

• CONDITION NUMBER REDUCTION — typically 1–2 orders of magnitude, often around 90% or more.
  

• FAST TURNAROUND — you send us your matrix, we return a repaired version plus a full report in about one day.
  

WHAT YOU RECEIVE

• Your original & repaired matrix (same format you sent).
  

• A before/after condition number comparison (κ values).
  

• Heatmaps and charts showing stability gains.
  

• A simple audit trail of all changes.
  

EVALUATION FIRST

Every case is different. That’s why we offer an evaluation run at no cost. You’ll see the repaired matrix, the κ drop, and the edits — and test the improvements in your own models.

If the stability and precision gains meet your needs, we can discuss ongoing support.